{"id":"W1411846290","doi":"10.1007/978-3-319-23528-8_19","title":"Generalization in Unsupervised Learning","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Face and Expression Recognition","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Generalization; Unsupervised learning; Cluster analysis; Computer science; Artificial intelligence; Set (abstract data type); Extension (predicate logic); Dimensionality reduction; Reduction (mathematics); Generalization error; Supervised learning; Machine learning; Curse of dimensionality; Task (project management); Algorithm; Mathematics; Artificial neural network","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000835701,0.0003225387,0.000334473,0.0009210216,0.0001244605,0.0003417141,0.001533696,0.000288532,0.00003388349],"category_scores_gemma":[0.0001023645,0.0003011336,0.00005831784,0.0006655988,0.0001728208,0.0007227995,0.000710432,0.0006770989,0.00009263875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002533904,"about_ca_system_score_gemma":0.0003937311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003834622,"about_ca_topic_score_gemma":0.00008591259,"domain_scores_codex":[0.9972804,0.0000577989,0.0003932357,0.00102577,0.0007991868,0.0004435738],"domain_scores_gemma":[0.9987483,0.0001270528,0.0001572336,0.000593241,0.0002387125,0.000135444],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000519168,0.00002422584,0.0002457597,0.00002512354,0.000002869222,0.00007188665,0.001168301,0.2741239,0.0004841572,0.004979823,0.0001094586,0.7187593],"study_design_scores_gemma":[0.0003847347,0.0001019628,0.0001013926,0.0004459697,0.000002293011,0.00002038303,2.89166e-7,0.8926737,0.0009596321,0.1009802,0.003831499,0.0004978928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003789607,0.0004366286,0.9934772,0.0004414616,0.0009530945,0.0002214844,0.000001002404,0.0001306922,0.003959505],"genre_scores_gemma":[0.3597074,0.0003091952,0.6327862,0.003282103,0.001005216,0.00003626446,0.00007524058,0.0001012874,0.002697078],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7182614,"threshold_uncertainty_score":0.9999441,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0303849185489975,"score_gpt":0.2566342340745744,"score_spread":0.2262493155255769,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}